eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.
On Wednesday, Jan. 13, at 11 a.m. PST/2 p.m. EST/7 p.m. GMT, @eWEEKNews will host its 39th monthly #eWEEKChat. The topic will be “Why There’s No Getting Away From Machine and Big Data Analytics.” It will be moderated by Chris Preimesberger, who serves as eWEEK’s editor of features and analysis.
Some quick facts:
Topic: “Why There’s No Getting Away From Machine and Big Data Analytics.”
Date/time: Jan. 13, 2016 @11 a.m. PST/2 p.m. EST/7 p.m. GMT
Hosted by: @eWEEKNews
Moderator: Chris Preimesberger: @editingwhiz
Tweetchat handle: Use #eWEEKChat to follow/participate. But it’s easier and more efficient to use real-time chatroom links.
Chatroom real-time links: We have two: http://tweetchat.com/room/eweekchat or http://www.tchat.io/rooms/eweekchat. Both work well. Sign in via Twitter and use #eweekchat for the identifier.
“Why There’s No Getting Away From Machine and Big Data Analytics”
There simply isn’t a way to get away from running into big data analytics in 2016, or any time thereafter. Whether we experience their influence as consumers or whether our own employers are using them, chances are that we’ll be touched by them at various points regularly in the day.
For example, every time you go onto a social network, that Web service is busy calculating who you are and where you are, and is trying to put a relevant ad in front of you for its clients. Big data analytics.
When you use Uber, Amazon, Groupon, Airbnb and airline Web sites or almost any type of consumer-aimed Web service, big data analytics will play a key role in helping you obtain what you are looking for. Big data analytics, again.
Whenever you use Google to search for something, there is big data analytics once again. It will soon become more common for near-instant big data analytics to be used in brick-and-mortar businesses; videocams will scan people coming and going in the entrances and exits, and facial recognition will be used to identify members of the public to warn security personnel that possible thieves are entering or leaving the building.
Oh yes. This is coming, and sooner than one thinks.
However, there appears to be a disconnect among IT administrators and staff about how efficient big data analytics actually is, or can be. A study that came out this week of more than 150 IT professionals found that most respondents (67 percent) said they believe their organization has the ability to analyze data in real time, but nearly the same percentage of respondents (66 percent) think that real-time apps are meeting business needs only half of the time.
When the responses are broken down by roles, 84 percent of CIOs believe their organization can analyze data in real time, compared with only 42 percent of developers who believe the same.
For an IT organization to work effectively, everybody must be on the same page, and it doesn’t look as if they are here.
These are just a few of the data points we’ll talk about on Jan. 13. We also will pose questions such as:
–How do you encounter big data analytics affecting your life on a regular basis?
–Will real-time big data analytics become the only way to use it in the near future?
–How will slower storage/analytics technologies, such as Hadoop, fare if real time is where it’s all going?
–What new use cases do you see for big data analytics in 2016?
–Which companies will become big data analytics players in 2016?
–Do you see, or do you not see, predictive big data analytics finally getting mainstream traction in 2016?
Join us Jan. 13 at 11 a.m. Pacific/2 p.m. Eastern 7 p.m. GMT for an hour. You’ll learn something valuable.